Data Scientist II, Client Analysis

Socure

Tysons (VA)

Remote

USD 150,000 - 185,000

Full time

6 days ago
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Job summary

Socure is hiring a Data Scientist II for its Data Science, Client Analysis team, working remotely across the USA. You will analyze large-scale customer data and build models to support risk management and fraud prevention.

You will explain model performance, create data stories, and collaborate with GTM teams to identify opportunities for product optimization. Experience in identity verification is preferred.

Qualifications

  • Degree in a quantitative field or equivalent work experience
  • 2+ years of data science or analytics experience
  • Strong understanding of supervised/unsupervised ML methods
  • Proficient Python coding and handling large datasets
  • SQL querying experience
  • Cloud experience (AWS/Azure/Databricks/GCP)
  • Ability to communicate insights via data storytelling
  • Experience explaining ML/AI to non-technical audiences
  • Excellent verbal and written communication, remote-startup readiness

Responsibilities

  • Analyze large-scale customer data to generate insights
  • Explain model performance and how to improve risk management
  • Advocate for Socure solutions and customer risk challenges
  • Create data stories to show how Socure reduces identity fraud and improves user experience
  • Provide thought leadership for core models and products
  • Build tools and automated workflows to speed analysis
  • Collaborate with GTM teams to identify upsell opportunities and optimizations
  • Develop ML models when appropriate compared to production models

Skills

Data science
Python
SQL
Data storytelling
Communication

Education

Degree in a quantitative field
Advanced degree preferred

Tools

PySpark
Pandas
NumPy
H2O
SHAP
Seaborn
Jupyter
Databricks
Redshift
Snowflake
Airflow
Git
Tableau
Looker

Job description

Socure is hiring a Data Scientist II for its Data Science, Client Analysis team, working remotely across the USA.

Responsibilities
  • Analyze large-scale customer data to generate actionable insights
  • Explain model performance and describe how Socure can help customers build optimal risk management policies
  • Serve as a Data Science advocate by understanding Socure solutions (products, models, and algorithms) and customers’ risk challenges
  • Create data stories that demonstrate how Socure can help customers eliminate identity fraud, streamline the end-user experience, and support risk management holistically
  • Provide thought leadership and act as the customer voice in building the next generation of Socure’s core models and product
  • Build tools and automated workflows to improve analysis speed, accuracy, and reproducibility
  • Partner with GTM teams (Sales, Solution Consultants, Account Managers, and Technical Account Managers) to develop analysis approaches and identify upsell opportunities and product optimizations
  • Build ML models when exploring alternative approaches versus production-established models is advantageous
Requirements
  • Degree in a quantitative field, or equivalent work experience (advanced degree preferred)
  • 2+ years of experience in data science, data analysis, or analytics engineering
  • Strong theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods
  • Clean, performant Python coding experience, plus 2+ years working with massive real-life datasets
  • Experience querying relational databases using SQL
  • Experience with cloud tools and technologies such as AWS, Azure, Databricks, or GCP
  • Ability to communicate insights through data storytelling (dashboarding, interactive data stories, actionable presentations)
  • Experience explaining complex algorithms and analyses (ML/AI models) to non-technical audiences
  • Strong verbal and written communication skills, comfortable delivering presentations with clear, complete messages
  • Thrives in a remote startup environment with a focus on setting goals and accountability
  • Experience in identity verification and fraud prevention (strongly preferred)
Tools and Technologies
  • Python, PySpark, Pandas, NumPy
  • H2O, SHAP, Seaborn, Jupyter
  • SQL, Redshift, Snowflake
  • S3, Databricks, Apache Spark, Apache Arrow, Amazon EMR
  • Airflow, SFTP/PGP, webhook data, Git
  • Tableau, Looker
  • JSON, transformers, clustering, graph analytics, LLM/agentic workflows
Compensation
  • USD 150,000 - 185,000 per year
Equal Opportunity Employer
  • Socure values diversity in all forms
  • Accommodations are available during the application or hiring process, including interview or onboarding support; contact your Socure recruiting partner directly
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